Data Analyst Competence Lead to Allocation Precision

Job Description
Do you want to shape the future of how H&M can use data and analytics in just about everything we do? Are you passionate about analysing and visualising data and to empower us in taking even better decisions about our business? Then H&M Group Business Tech can offer you a position that matches your personality and competence!
About the role
We are now looking for a Data Analyst Competence Lead to our product area Allocation Precision within the Customer Fulfilment domain. The role has a dual focus – staff responsibility and delivery.
As a Data Analyst Competence Lead, you will work in a cross-functional, multi-competence product team consisting of engineers, data scientists and business experts. Your mission is to support the team with data as well as business analyses to ensure AI -and software solutions are generating actionable and value-enhancing results for our customers and business.
As a Competence Lead you will be staff responsible for other Data Analysts within the product area. Your mission will also be to support the growth and development of the other Data analysts with regular follow ups and dialogues. These responsibilities should take up to half of your time available.
Your insights will drive AI supply chain logics that will direct our products from supplier to end customer in the most efficient and sustainable way possible. You have a strong customer focus, a strong commercial mindset and innate curiosity. You will work with multiple advanced analytics tools to analyse, execute and follow up initiatives from idea to industrialization with both analysis of model output and designing of new ways of working.
You will work closely with different departments within H&M and you will play an important role in developing critical business processes as well as handling forecasts, budgets and performance analyses. Since you will handle a lot of complex data, it is important that you possess the ability to transform it into an easily understandable format for a variety of stakeholders.
As a Data Analyst at H&M Group Business Tech, you have great analytical skills, believe in a non-hierarchical culture of collaboration, transparency, safety, and trust. Our focus is on value creation, growth, and serving customers with full ownership and accountability to deliver exceptional customer and business results.
Responsibilities
Empower and collaborate with stakeholders to improve the customer value through expert analyses of various types of customer data.
Advocate data-driven decision making through for example experimentation and other quantitative analysis.
Pressure-test algorithms from a business logic perspective and develop value-proofs/ business cases​
Identify commercial opportunities leveraging data and models.
Develop calculation mechanisms to ensure real-time data collection of customer behaviour ​
Be part of designing AI solutions together with business stakeholders and the product team to maximize business impact
Lead specific development topics, as well as specific agile ceremonies
Support the Product Owner in setting the roadmap and strategy for the product team through data-driven insights
Follow leadership values and build your team to set and achieve their goals
Be responsible for your teams’ development and growth
Drive the learning and agile culture within your team

We are looking for you with
The characteristics of a strong leader and team player, that puts the team before themselves
An analytical, creative and curious mindset in combination with a strong foundation in statistical methods and data processing
Excellent communication skills with the ability to explain data and its implications to various stakeholders​
A Bachelor’s or Master’s degree (or equivalent) in Business, Business Engineering, Economics, Data Analytics, Data Science or similar
2+ years of work experience as a business analyst, data analyst, controller (or equivalent) preferably within retail, supply chain or similar
Good knowledge of data-querying using SQL
Experience in data visualization, preferably with excellent knowledge of Power BI or Tableau as well as Microsoft Excel
Proficiency in Python or R preferably
Experience of – and/or high interest in - working with advanced analytics and AI or technical product development
A proven track record of delivering great results
Strong in prioritisation, execution, and follow-up skills together with a “can-do attitude”
Fluency in English, both spoken and written

Our journey will lead to something new and exciting - we will test, fail and learn. You are an important player in this transformation; therefore, we believe you are flexible, stress-resistant and able to work in an environment that is not yet formalised.
Interested? Come join us!
This is a full-time position with placement in Stockholm. Please apply with your CV and Personal letter no later than 23rd of August. The recruitment process will take a little longer than expected due to the summer period. If you have any questions about the role, please contact Jeffrey Hou, at Jeffery.Hou@hm.com, and about the recruitment process, please contact Kristina Dybeck, at Kristina.Dybeck@hm.com.
We welcome your application!
About H&M Group
We are a family of brands, driven by our desire to make great design available to everyone in a sustainable way. We develop tech solutions and products for the entire value chain for the H&M Group with the purpose to meet and exceed our customers' expectations. Working in multiple areas of the tech field we operate at large scale, from AI, data, and business development to engineering and testing - we are influencing and engaging millions of customers across 77 markets.
Why join us?
Besides the obvious perks such as staff discount card, flexible work life, learning communities, wellness benefits, parental benefits etc. You are joining a unique value driven culture, a large tech network and community where you can be yourself. There are endless opportunities to experiment and grow in any direction that you want and when you grow, we grow. Being a major player gives us countless opportunities to make a real impact and shape the future.
We look forward to hearing for you!